Results 11 to 20 of about 211,734 (246)
IEEE Access, 2020 Automatic text classification is a research focus and core technology in information retrieval and natural language processing. Different from the traditional text classification methods (SVM, Bayesian, KNN), the class-center vector method is an ...
Xinhua Zhu +4 more
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Distributional part-of-speech tagging [PDF]
Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics -, 1995 This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in context instead of word types. The algorithm is evaluated on the Brown Corpus.
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Fragmentation and part of speech disambiguation [PDF]
Proceedings of the third conference on European chapter of the Association for Computational Linguistics -, 1987 That at least some syntax is necessary to support semantic processing is fairly obvious. To know exactly how much syntax is needed, however, and how and when to apply it, is still an open and crucial, albeit old, question. This paper discusses the solutions used in a semantic analyser of French called SABA, developed at the University of Liege, Belgium.
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Improving the Performance of Vietnamese–Korean Neural Machine Translation with Contextual Embedding
Applied Sciences, 2021 With the recent evolution of deep learning, machine translation (MT) models and systems are being steadily improved. However, research on MT in low-resource languages such as Vietnamese and Korean is still very limited.
Van-Hai Vu +3 more
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Mathematics, 2022 Chinese Medical Named Entity Recognition (Chinese-MNER) aims to identify potential entities and their categories from the unstructured Chinese medical text.
Miao Jiang +4 more
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Poljarnyj Vestnik: Norwegian Journal of Slavic Studies, 2002 The seemingly simple relations between these two categories turn out to be quite complex in the framework of a dependency grammar in which all kinds of segmental linguistic signs are involved: not only free, explicit words but also morphologically ...
Lennart Lönngren
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Information, 2022 Text vectorization is the basic work of natural language processing tasks. High-quality vector representation with rich feature information can guarantee the quality of entity recognition and other downstream tasks in the field of traditional Chinese ...
Yuekun Ma +3 more
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MALAY PART OF SPEECH TAGGING USING RULED-BASED APPROACH
Asia-Pacific Journal of Information Technology and Multimedia, 2017 The research on part of speech (POS) tagging has been widely applied and used through a variety of approaches, particularly for European languages. But it is more challenging for Asian languages, especially Malay as it has some element of modification ...
Nur Ashikin Halid, Nazlia Omar
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IEEE Access, 2020 Sentiment lexicon, which provides sentiment information for words, plays an important role in sentiment analysis task. Currently, most of sentiment lexicons have only one sentiment polarity for each word and ignore sentimental ambiguity.
Fulian Yin +3 more
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Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition
IEEE Access, 2019 Simile recognition is to find simile sentences and extract the tenor and vehicle from these sentences. Previous works illustrate that tenors and vehicles are typically noun phrases. A word may have different part-of-speech (POS) labels (e.g., adjectives,
Pengfei Zhang +4 more
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